For a long time since, the topic of Big Data has come of age. A long time ago, experience and information became capital assets of many companies, and in the process, the analysis and structuring of huge data volumes evolved into a company-critical factor. Anyone who understands trends and contexts faster than his or her competitors gains the competitive edge. For this reason, Big Data solutions have emerged everywhere in large numbers. The course at hand shows what's behind this hype, which technologies are applied, and how they work.
- Course Contents
Each participant will receive the comprehensive course documentation of the ExperTeach Networking series in German language. Optionally, we provide the printed version or an ExperTeach e-book.
- What's behind Big Data?
- Application Scenarios for Big Data
- Storage of Large Data Volumes in Distributed File Systems
- MapReduce Procedure and CAP Theorem
- NoSQL Databases
- Software Solutions for Big Data Hadoop, Spark, and Flink
- Data Analytics IT Architectures for Big Data
- Hands-On Big Data and Data Analytics Preview
- Target Group
The course at hand is tailor-made for all those who want to design, evaluate and implement Big Data solutions.
- Knowledge Prerequisites
Specific technical know-how is not required. Anyone who is interested in Big Data solutions in terms of application scenarios and technical implementation will benefit from this course.
|1||What is Big Data?|
|1.1||A Big Mountain of Data|
|1.2||The Definition of Big Data|
|1.2.4||The 4 Vs—Veracity|
|1.2.5||That's Big Data!|
|1.3||The Origin of Big Data|
|2||Basics of Big Data|
|2.2.2||In-Memory Key-Value Stores|
|2.3.1||Combination CA of the CAP Theorem|
|2.3.2||Combination CP of the CAP Theorem|
|2.3.3||Combination AP of the CAP Theorem|
|3.2.3||Example: Counting Words|
|3.2.4||Example: Relational to Key/Value|
|4||Big Data Technologies|
|4.1||The Hadoop Eco System|
|5||Application Scenarios for Big Data|
|5.1||Limitations of Classic Analytical Applications|
|5.2||Application Scenarios of Big Data|
|5.2.2||Sentiment Analysis from Social Media|
|5.2.3||Analysis of Log Data|
|5.2.4||Analysis of Sensoric Data|
|5.2.5||Analysis of Texts|
|5.2.6||Analysis of Video and Voice Data|
|5.2.7||Business Intelligence (BI) and Big Data|
|5.2.8||Hybrid Solution with a Data Warehouse|
|6.2||Data Compliance Risk|
|6.4||Definition and Conclusion Risks|
|6.5.2||Factor Data Management|
|6.5.5||Factor Customer as the Party Concerned|
|7||Challenges in the Operation of Big Data Solutions|
|7.1||Where do we start?|
|7.2||Operating Hadoop in Company-Wide Mode|
|7.2.6||Further Operational Criteria|
|7.3||Real-Time Analysis for Streaming Data|
|8.5||Discussion of the Results|
- Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
- Tailor-made courses
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request for customized courses